- LLMs & RAG: Building retrieval-augmented generation systems using LangChain, embeddings, vector databases, and LLM APIs.
- AI Agents: Exploring agentic workflows, tool calling, automation, and intelligent assistants.
- Machine Learning: Developing supervised ML models and experimenting with real-world datasets.
- Computer Vision: Building image-based AI systems using OpenCV, CNNs, and deep learning.
- Data Analysis: Cleaning, analyzing, and visualizing data using Python, Pandas, Matplotlib, Seaborn, and Power BI.
- PAKISTAN
- in/mahnoor-iqbal-403b39292
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RAG-Based-Youtube-Chatbot
RAG-Based-Youtube-Chatbot PublicRAG-based YouTube chatbot that lets users ask questions about a video using its transcript, FAISS vector search, Hugging Face embeddings, and Groq LLM.
Python
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movie-recommender-system
movie-recommender-system PublicA content-based movie recommender system that suggests similar movies using NLP and cosine similarity. Built with Python, scikit-learn, and Streamlit for an interactive recommendation experience.
Python
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Research-Assistant-2.0
Research-Assistant-2.0 PublicRAG-based AI research assistant that lets users upload PDFs and ask document-specific questions using LangChain, ChromaDB, and Groq.
Python
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road-lane-detection
road-lane-detection PublicA Python-based computer vision project that detects road lane lines in real-time using OpenCV. Implements Canny edge detection and Hough Transform to highlight lanes on road images and videos.
Python
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DSA-Word-Puzzle
DSA-Word-Puzzle PublicC++ word puzzle game built as a DSA final project, using hash tables for dictionary lookup, stack-based undo/redo, grid logic, and OOP-based game management
C++
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duplicate-question-pair-detector
duplicate-question-pair-detector PublicMachine learning-based duplicate question detector that uses NLP preprocessing, similarity features, fuzzy matching, Bag of Words, and a Streamlit interface to predict whether two questions have th…
Jupyter Notebook
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